Inhibrx Biosciences (INBX) Net Income (2023 - 2026)
Inhibrx Biosciences (INBX) recorded Net Income of -$36.65 million in Q2 2026, compared with -$28.65 million a year earlier.
Inhibrx Biosciences (INBX) Net Income (2023 - 2026) Analysis & Trends
On a TTM basis, Inhibrx Biosciences' Net Income came in at -$133.39 million as of Jun 30, 2026; for FY2025, it came in at -$140.06 million.
- Across earlier years, Net Income came in at $1.69 billion in FY2024 and -$239.73 million in FY2023.
- The Q2 2026 figure is the lowest quarterly Net Income since Q1 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,144.36 Bn | 1,112.95 Bn | 19.71 Bn | 7.10 Bn |
| 2 | Johnson & Johnson | 635.36 Bn | 555.22 Bn | 17.30 Bn | 210.00 Mn |
| 3 | AbbVie | 502.79 Bn | 475.90 Bn | 12.70 Bn | 3.62 Bn |
| 4 | Merck | 356.08 Bn | 310.46 Bn | 12.21 Bn | -1.34 Bn |
| 5 | Novartis Ag | 300.87 Bn | 264.86 Bn | 11.24 Bn | 3.26 Bn |
| 6 | Astrazeneca | 264.31 Bn | 237.99 Bn | 12.86 Bn | 2.51 Bn |
| 7 | Amgen | 239.07 Bn | 194.47 Bn | 7.24 Bn | 2.38 Bn |
| 8 | Gilead Sciences | 194.50 Bn | 168.70 Bn | 6.22 Bn | -10.50 Bn |
| 9 | Pfizer | 171.00 Bn | 117.64 Bn | 10.94 Bn | -248.00 Mn |
| 10 | Inhibrx Biosciences | 1.48 Bn | 879.23 Mn | - | -36.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -36.65 Mn |
| Dec 31, 2025 | -32.83 Mn |
| Sep 30, 2025 | -35.26 Mn |
| Jun 30, 2025 | -28.65 Mn |
| Mar 31, 2025 | -43.31 Mn |
| Dec 31, 2024 | -47.87 Mn |
| Sep 30, 2024 | -43.86 Mn |
| Jun 30, 2024 | 1.86 Bn |
| Mar 31, 2024 | -78.71 Mn |
| Dec 31, 2023 | -93.60 Mn |
| Sep 30, 2023 | -51.79 Mn |
| Jun 30, 2023 | -47.05 Mn |
Inhibrx Biosciences Net Income API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=net-income&ticker=INBX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "ticker": "INBX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=net-income&ticker=INBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();